Un riValEd Graduate Certificate
Advanced Educational Statistics
Master the power of data in education — and harness it to drive meaningful insights and improvements.
The Graduate Certificate in Advanced Educational Statistics equips you with a robust and comprehensive foundation in statistical techniques essential for educational research. You’ll build expertise in quantitative research and evaluation, from sampling and data collection to cleaning, modeling, and interpreting results.
With a strong emphasis on advanced quantitative methodologies, the program explores multilevel modeling, structural equation modeling, and machine learning applications. Through a comprehensive curriculum covering quantitative research design, multivariate statistics, multilevel modeling, structural equation modeling, applied machine learning in education research, and more, totaling a minimum of 18 graduate credits, you’ll acquire the skills to analyze complex social and educational data at an advanced level.
In a world inundated with data, this certificate plays a crucial role in bridging the gap by fostering expertise in research, evaluation, and institutional assessment. It equips you to design studies, apply cutting-edge methods, and make meaningful contributions in the field of educational research, producing impactful reports that resonate in academia, industry, and beyond.
Career Paths
n Educational researcher
n Quantitative analyst in education
n Statistician for educational institutions
n Research methodologist
n Data scientist in education
n Evaluation and assessment specialist
n Institutional research analyst
n Policy analyst with a quantitative focus
n Academic data consultant
n Assessment coordinator
Advanced Educational Statistics
Required Certificate Coursework
The curriculum is designed to provide students with advanced quantitative methodology skills in order to engage in research, evaluation and institutional assessment. In our rapidly changing world, in which data continues to proliferate, it is critical for students to have an understanding of how to collect, analyze and interpret many forms of educational data. This certificate fills this gap by providing students with a set of aligned skills in research and evaluation that they can use to obtain a variety of positions in academia and industry.
The minimum total of graduate credit hours required for this certificate is 18.
A Quick Glance
EDUS 608 — Educational Statistics (3 credits)
EDUS 663 — Applied Multivariate Statistics in Education (3 credits)
EDUS 664 — Multilevel Modeling in Education (3 credits)
EDUS 667 — Applied Structural Equation Modeling in Education (3 credits)
EDUS 668 — Applied Machine Learning in Education Research (3 credits)
EDUS 710 — Quantitative Research Design (3 credits) OR EDUC 797 — Directed Research (3 credits)
Credit hours: 18 Start: Fall/Spring/Summer Mode: In-person
Average completion timeline: Part-time, 2-4 semesters
Application deadlines: April 1 (Fall) / November 15 (Spring) / April 1 (Summer)
Application Requirements
In addition to the general admission requirements of the VCU Graduate School, the following requirements represent the minimum acceptable standards for admission:
n Bachelor’s degree
n Two letters of recommendation addressing the student’s potential for graduate study in education
n Statement of intent
n Transcripts of all previous college work
n Resume or curriculum vitae
In addition to the general admission requirements of the VCU Graduate School, the following requirements represent the minimum acceptable standards for admission:
Contact Us
Brandon Norris
Recruitment and Enrollment
Counselor
soeinfo@vcu.edu (804) 827-6847
vcu.edu/admissions/ apply/graduate/
Chi-Ning Chang, Ph.D. Assistant Professor, Foundations of Education changc10@vcu.edu (804) 828-3738
Email: soeinfo@vcu.edu | Phone: (804) 827-6847